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DeepLearning_Notes

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Github：https://github.com/ccc013

知乎专栏：机器学习与计算机视觉，AI 论文笔记

微信公众号：AI 算法笔记

在这里插入图片描述

机器学习、深度学习的学习笔记、代码，包括教程、实战，以及论文阅读笔记和代码。

目录

学习笔记

数学

  1. 线性代数的学习笔记
  2. 概率论的学习笔记
  3. 数值计算&微积分的学习笔记

论文笔记

记录平时阅读的论文笔记

Object Detection

Title Paper Code My note Discuss
Focal Loss for Dense Object Detection https://arxiv.org/abs/1708.02002 官方 github：https://github.com/facebookresearch/detectron tensorflow：https://github.com/tensorflow/models https://github.com/fizyr/keras-retinanet https://github.com/yhenon/pytorch-retinanet https://mp.weixin.qq.com/s/6ivSPTfF_h6eMyE7h18hUQ

OCR

Title Paper Code My note Discuss
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition https://arxiv.org/abs/1507.05717 https://github.com/bgshih/crnn https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483793&idx=1&sn=c48d812a8fde3a39c90dc5a64375ff83&chksm=c09a43aaf7edcabc8b2dd7d959254daa8cb475b112be03ab735b94d9febdb90aaf22e760872d&token=1492400943&lang=zh_CN#rd

Fashion

Title Paper Code My note Discuss
FashionNet："FashionNet: Personalized Outfit Recommendation with Deep Neural Network" https://www.ijcai.org/proceedings/2017/0239.pdf / https://github.com/ccc013/paper_reading/blob/master/fashion/FashionNet%20%E8%AE%BA%E6%96%87%E7%AC%94%E8%AE%B0.md issue
Learning Fashion Compatibility with Bidirectional LSTMs https://arxiv.org/abs/1707.05691 https://github.com/xthan/polyvore https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483874&idx=1&sn=ee302ebc030f0da7775328699af9128d&chksm=c09a43d9f7edcacf76df3961c438c9e3a627dc8a91aaafb6303f6b5345e3336dec77b90d296a&token=1862930471&lang=zh_CN#rd
Outfit Compatibility Prediction and Diagnosis with Multi-Layered Comparison Network https://arxiv.org/abs/1907.11496 https://github.com/WangXin93/fashion_compatibility_mcn https://mp.weixin.qq.com/s/LTkP8RHfJHKHfcUNxqH2qw
Learning Similarity Conditions Without Explicit Supervision https://arxiv.org/pdf/1908.08589.pdf https://github.com/rxtan2/Learning-Similarity-Conditions https://mp.weixin.qq.com/s?__biz=MzkwMzEyNDgyMA==&mid=2247483945&idx=1&sn=483d4244460e482c7cecda1dd7ea5d9e&chksm=c09a4012f7edc9046e009843d7094f869ff72d32a0168a20f8e8dd3245c08e1935c734f46ca7&token=1492400943&lang=zh_CN#rd

Recommend System

Title Paper Code My note Discuss
DeepFM："DeepFM: A Factorization-Machine based Neural Network for CTR Prediction". paper Tensorflow Pytorch

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